Assets already exist
Customer records, orders, tickets, contracts, API products, spreadsheets, and internal tools already contain the business truth.
ASSET-FIRST AI WORKFLOW PLATFORM
既存資産から、AI が扱える業務フローへ。
ContextStacker は、企業がすでに使っているシステム、API、文書、スプレッドシートを接続し、業務オブジェクトとして整理して、フォーム、ワークフロー、AI chat 操作を生成します。
WHY ASSET-FIRST
企業の仕事は、すでに既存システムの中にあります。
すべての業務を白紙から作り直す必要はありません。既存資産を接続し、人と AI が同じ業務フローを操作できる形に整理することが、より現実的な始め方です。
Work is scattered
Actual work moves across documents, forms, approvals, messages, and system actions without a single operating surface.
AI needs boundaries
AI chat becomes useful when it understands business objects, allowed actions, source context, and approval paths.
APPROACH
Connect assets first, then grow business workflows.
Start from the systems and files already in place. ContextStacker maps them into business objects, lets teams confirm the model, and generates operational surfaces around that model.
APPROACH
asset-first
Connect
Bring in APIs, documents, spreadsheets, and internal systems without asking teams to migrate everything first.
Shape
Turn raw sources into business objects with fields, relationships, ownership, state, and operating rules.
Generate
Create forms, lists, intake flows, approvals, and task views around confirmed business objects.
Operate
Let teams use AI chat to query, submit, approve, summarize, and coordinate work with clear confirmation and audit trails.
CAPABILITIES
The operating layer between company assets and AI work.
ContextStacker is not another blank low-code canvas. It turns existing enterprise assets into a governed workspace where people, workflows, and AI chat work on the same business objects.
Asset connectors
Connect business APIs, documents, spreadsheets, files, and internal systems as source material for operational workflows.
Business object modeling
Model customers, orders, assets, tickets, approvals, API products, and other business objects from connected sources.
Generated forms and workflows
Generate structured forms, lists, detail views, approvals, state transitions, and handoff flows from the confirmed model.
AI chat operations
Use chat to create, update, route, approve, and analyze work while keeping permissions, confirmations, and audit history visible.
USE CASES
Start with one process that already hurts.
The strongest first deployment is a workflow where the data, documents, and actions already exist, but the team still spends time moving work by hand.
Customer and API onboarding
Turn product docs, customer requests, API permissions, examples, and support notes into guided intake, review, and activation workflows.
Operations intake and approvals
Convert scattered requests, spreadsheets, policies, and system actions into structured forms, status flows, and approval queues.
Knowledge to action
Use policies, contracts, reports, and internal docs not only for answers, but also for the next form, task, handoff, or workflow step.
CONTACT
Show us the assets you want AI to operate
Share one workflow, the systems behind it, and the documents or spreadsheets people still rely on. We will help map the first asset-first pilot.